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Reference no. R2867765 

Position title: Data Analyst

Department: Diamond

Location: Toronto, ON

About the job

Ready to push the limits of what’s possible? Join Sanofi in one of our corporate functions and you can play a vital part in the performance of our entire business while helping to make an impact on millions around the world.  

Reporting directly to the Sales and Demand Insights Data Product Manager, the Data Analyst (L2) is responsible for managing, analyzing, and transforming commercial data into AI-ready, trusted assets that power business decisions across US Brands.

This role sits at the intersection of data engineering, analytics, and AI enablement. The ideal candidate brings a strong command of data management and analytics, hands-on AI fluency, and a commitment to Sanofi's AI-Ready Data principles: Understood, Trusted, Safe, and Shared.

About Sanofi 

We’re an R&D-driven, AI-powered biopharma company committed to improving people’s lives and delivering compelling growth. Our deep understanding of the immune system – and innovative pipeline – enables us to invent medicines and vaccines that treat and protect millions of people around the world. Together, we chase the miracles of science to improve people’s lives. 

Main Responsibilities:

AI-ENABLED ANALYTICS AND INSIGHT GENERATION

• Leverage AI and machine learning tools and techniques, including generative AI and statistical models, to identify patterns, trends, and high-leverage insights from large commercial datasets

• Develop and maintain AI-ready datasets, ensuring data is structured, governed, and fit-for-purpose for use in AI and ML solutions across US Brands

• Apply Sanofi's Responsible AI (RAISE) framework principles when building or consuming AI-powered analytics, ensuring transparency, fairness, and ethical use

• Explore opportunities to integrate AI and ML capabilities such as predictive demand modeling, sales forecasting, and segmentation into the Sales and Demand Insights product

DATA ANALYSIS AND BUSINESS INTELLIGENCE

• Analyze large datasets to identify trends, patterns, and actionable insights that drive commercial decisions

• Leverage data and facts to challenge conventional wisdom, form evidence-based conclusions, and identify high-leverage intervention points

• Identify and analyze business needs that support the product strategy, harmonizing across business areas for a unified commercial data foundation for all US Brands

• Communicate solution trade-offs clearly to frame and influence project decisions

DATA ENGINEERING AND AI-READY DATA DEVELOPMENT

• Design and define ingestion processes to ensure efficient data flow and integration aligned with Sanofi's Data Mesh architecture

• Build and maintain data pipelines that meet Sanofi's AI-Ready Data standards: quality-scored, classified, governed, and discoverable in the Data Marketplace

• Develop detailed functional specifications and test cases based on business requirements

• Apply strong understanding of data warehousing concepts including design patterns and ETL and ELT load strategies

DATA QUALITY AND GOVERNANCE

• Implement and monitor Data Quality rules in line with Sanofi's AI-Ready Data standards covering accuracy, completeness, consistency, and timeliness

• Ensure datasets are scored via Informatica CDGC and remediated when below defined quality thresholds

• Support data classification, access policy definition, and privacy-by-design principles in compliance with Data Privacy, GxP, SOX, and cybersecurity requirements

• Collaborate with Business Data Stewards and Digital roles to maintain shared data ownership and accountability

INNOVATION AND CONTINUOUS IMPROVEMENT

• Proactively monitor industry, functional, and technology trends, particularly in AI and ML, generative AI, and commercial analytics

• Identify new opportunities to leverage data and integrate internal and external sources to enhance business value

• Aggregate and evaluate digital data sources including web, email, social media, and CRM to enrich commercial insights

About You

Required Qualifications:

• Bachelor's degree in Data Science, Computer Science, Information Systems, or a related field

• Minimum 3 years of experience in data analysis, data manipulation, and data management

• Expert proficiency in SQL and data querying

• Proficiency in Python for data analysis and AI and ML workflows

• Hands-on experience building or consuming AI-ready datasets and working with AI and ML platforms

• Familiarity with Responsible AI principles and ethical data use including bias, fairness, and transparency

• Experience with data warehousing, Snowflake, ETL and ELT pipelines, and cloud platforms

• Strong team player with the ability to collaborate effectively in a fast-moving, agile environment

Preferred Qualifications:

• Experience in commercial pharmaceuticals, biotech, or healthcare

• Familiarity with Sanofi's AI Foundry, Data Mesh, or Informatica CDGC

• Knowledge of generative AI tools and large language model-based analytics applications

• Experience with digital data sources including web analytics, CRM, email, social media, and TV

• Knowledge of Six Sigma and Agile practices

Tools and technologies:

• Snowflake, SQL, Python, Informatica, AWS

• JIRA, Confluence

• Microsoft Suite including Teams, Excel, and PowerPoint

• Power BI or equivalent data visualization tools

SANOFI SKILLS PROFILE - DATA ANALYSIS L2

(Aligned to Sanofi Global Jobs and Skills Official Taxonomy 2025)

Technical Skills:

• Structured Query Language - SQL (Experienced)

• Data Visualization (Intermediate)

• Applied Statistics (Experienced)

• Data Modeling (Experienced)

Functional Skills:

• Data Analytics (Intermediate)

• Data Quality (Intermediate)

• Data Management (Intermediate)

• Responsible AI (Intermediate)

Transversal Skills:

• Business Acumen (Experienced)

• Communication (Experienced)

• Decision Making (Intermediate)

• Professional Collaboration (Experienced)

Why Choose Us?  

• Bring the miracles of science to life alongside a supportive, future-focused team. 

• Discover endless opportunities to grow your talent and drive your career, whether it’s through a promotion or lateral move, at home or internationally. 

• Enjoy a thoughtful, well-crafted rewards package that recognizes your contribution and amplifies your impact. 

• Take good care of yourself and your family, with a wide range of health and wellbeing benefits including high-quality healthcare, prevention and wellness programs. 

All compensation will be determined commensurate with demonstrated experience. Employees may be eligible to participate in Company employee benefit programs, and additional benefits information can be found here.

Toute compensation sera déterminée en fonction de l'expérience démontrée. Les employés peuvent être admissibles à participer aux programmes d'avantages sociaux de l'entreprise. Des informations supplémentaires sur les avantages sociaux peuvent être trouvées ici.